@TechReport{dp-628,
author = {Busch, Marie and Sibbertsen, Philipp},
astring = {Marie Busch and Philipp Sibbertsen},
title = {An Overview of Modified Semiparametric Memory Estimation Methods},
month = {March},
year = {2018},
pages = {46},
size = {542},
number = {628},
keywords = {Spurious Long Memory; Semiparametric estimation; Low frequency contamination; Pertubation;Monte Carlo simulation},
jelclass = {C13, C14, C22},
language = {en},
abstract = {Several modified estimation methods of the memory parameter have been introduced in the past years. They aim to decrease the upward bias of the memory parameter in cases
of low frequency contaminations or an additive noise component, especially in situations with a short-memory process being contaminated. In this paper, we provide an overview
and compare the performance of nine semiparametric estimation methods. Among them are two standard methods, four modified approaches to account for low frequency contaminations
and three procedures developed for perturbed fractional processes. We conduct an extensive Monte Carlo study for a variety of parameter constellations and several DGPs. Furthermore, an empirical application of the log-absolute return series of the S&P 500 shows that the estimation results combined with a long-memory test indicate a spurious long-memory process.}
}